Zobrazeno 1 - 10 of 14 pro vyhledávání: '"Maria Fatima Marinho"'
1
Akademický článek
Como melhorar a qualidade da informação sobre mortalidade?
Autor: Maria Fatima Marinho
Publikováno v: Revista Brasileira de Epidemiologia, Vol 22, Iss suppl 3 (2019)
Externí odkaz: https://doaj.org/article/051be3fc03234ddeb0d02d3f2ec405ba
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2
Akademický článek
Investigation of garbage code deaths to improve the quality of cause-of-death in Brazil: results from a pilot study
Autor: Raquel Barbosa de Lima, Ashley Frederes, Maria Fatima Marinho, Carolina Cândida da Cunha, Tim Adair, Elisabeth Barboza França
Publikováno v: Revista Brasileira de Epidemiologia, Vol 22, Iss suppl 3 (2019)
ABSTRACT Introduction: Reliable cause-of-death statistics are an important source of information on trends and differentials in population health. In Brazil, the Mortality Information System is responsible for compiling cause of death (CoD) data. Des
Externí odkaz: https://doaj.org/article/8293bdc5d4144cd5900308171672a2be
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3
Akademický článek
Improving the usefulness of mortality data: reclassification of ill-defined causes based on medical records and home interviews in Brazil
Autor: Elisabeth Barboza França, Lenice Harumi Ishitani, Renato Azeredo Teixeira, Carolina Cândida da Cunha, Maria Fatima Marinho
Publikováno v: Revista Brasileira de Epidemiologia, Vol 22, Iss suppl 3 (2019)
ABSTRACT Introduction: Brazil presented a high proportion of ill-defined causes of death (IDCD) in 2000, compromising accurate cause-of-death analysis. Objective: To analyze specific underlying causes for deaths originally assigned as IDCD in the Mor
Externí odkaz: https://doaj.org/article/a3c27cf764c943ab8d7189de5cb98e6a
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4
Akademický článek
Dados para a saúde: impacto na melhoria da qualidade da informação sobre causas de óbito no Brasil
Autor: Maria Fatima Marinho, Elisabeth Barboza França, Renato Azeredo Teixeira, Lenice Harumi Ishitani, Carolina Cândida da Cunha, Mayara Rocha dos Santos, Ashley Frederes, Juan José Cortez-Escalante, Daisy Maria Xavier de Abreu
Publikováno v: Revista Brasileira de Epidemiologia
RESUMO Introdução: Conhecer o número de óbitos e suas causas se constitui em informação de relevância para gestores de saúde pública. Entretanto, muitas vezes a causa do óbito é classificada com códigos pouco úteis para as análises de m
Externí odkaz: https://doaj.org/article/f4e10932f20a4e07b31226b0d971f0ea
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5
Estimating completeness of national and subnational death reporting in Brazil: application of record linkage methods
Autor: Dacio de Lyra Rabello Neto, Tim Adair, Antônio Tadeu Ribeiro de Oliveira, Luiz Fernando Lima Costa, Jose Eduardo de Oliveira Trindade, Maria Fatima Marinho, Marli de Mesquita Silva Montenegro
Publikováno v: Population Health Metrics, Vol 18, Iss 1, Pp 1-12 (2020)
Population Health Metrics
Background In Brazil, both the Civil Registry (CR) and Ministry of Health (MoH) Mortality Information System (SIM) are sources of routine mortality data, but neither is 100% complete. Deaths from these two sources can be linked to facilitate estimati
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9717737a5c554c7f2c7533099b6dce0
http://link.springer.com/article/10.1186/s12963-020-00223-2
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8
Investigação de óbitos por garbage code para melhorar a qualidade da causa de morte no Brasil: resultados de um estudo piloto
Autor: Carolina Cândida da Cunha, Tim Adair, Maria Fatima Marinho, Elisabeth Barboza França, Raquel Barbosa de Lima, Ashley Frederes
Publikováno v: Revista Brasileira de Epidemiologia, Volume: 22 Supplement 3, Article number: e19004.supl.3, Published: 28 NOV 2019
Revista Brasileira de Epidemiologia, Vol 22, Iss suppl 3 (2019)
Repositório Institucional da UFMG
Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
Revista Brasileira de Epidemiologia v.22 suppl.3 2019
Revista brasileira de epidemiologia
Associação Brasileira de Saúde Coletiva (ABRASCO)
instacron:ABRASCO
Introduction: Reliable cause-of-death statistics are an important source of information on trends and differentials in population health. In Brazil, the Mortality Information System is responsible for compiling cause of death (CoD) data. Despite the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56758142a318cca19237b3c9b2377990
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2019000400402&lng=en&tlng=en
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10
Data for health: impact on improving the quality of cause-of-death information in Brazil
Autor: Maria Fatima, Marinho, Elisabeth Barboza, França, Renato Azeredo, Teixeira, Lenice Harumi, Ishitani, Carolina Cândida da, Cunha, Mayara Rocha Dos, Santos, Ashley, Frederes, Juan José, Cortez-Escalante, Daisy Maria Xavier de, Abreu
Publikováno v: Revista brasileira de epidemiologia = Brazilian journal of epidemiology. (Suppl 3)
Knowing the number of deaths and their causes is relevant information for public health managers. However, the cause of death is often classified with codes that are not useful for mortality analysis, called garbage codes (GC).To describe and evaluat
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::6e42a4eafd5b00f6c7b4a11e51821598
https://pubmed.ncbi.nlm.nih.gov/31800857
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